Package Recipe 'bioconductor-recoup'

recipe bioconductor-recoup

An R package for the creation of complex genomic profile plots

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/recoup.html
License:: GPL (>= 3)
Recipe:: /bioconductor-recoup/meta.yaml
Links:: biotools: recoup, doi: 10.1038/nmeth.3252

recoup calculates and plots signal profiles created from short sequence reads derived from Next Generation Sequencing technologies. The profiles provided are either sumarized curve profiles or heatmap profiles. Currently, recoup supports genomic profile plots for reads derived from ChIP-Seq and RNA-Seq experiments. The package uses ggplot2 and ComplexHeatmap graphics facilities for curve and heatmap coverage profiles respectively.

package bioconductor-recoup¶

Versions:

1.38.0-0, 1.34.0-0, 1.30.0-0, 1.28.0-0, 1.26.0-0, 1.22.0-0, 1.20.0-0, 1.18.0-1, 1.18.0-0,

1.38.0-0, 1.34.0-0, 1.30.0-0, 1.28.0-0, 1.26.0-0, 1.22.0-0, 1.20.0-0, 1.18.0-1, 1.18.0-0, 1.16.0-0, 1.14.0-0, 1.12.0-1, 1.10.0-0, 1.8.0-0, 1.6.0-0, 1.4.0-0

Depends:

on bioconductor-biocgenerics >=0.56.0,<0.57.0
on bioconductor-biomart >=2.66.0,<2.67.0
on bioconductor-biostrings >=2.78.0,<2.79.0
on bioconductor-complexheatmap >=2.26.0,<2.27.0
on bioconductor-genomicalignments >=1.46.0,<1.47.0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-rsamtools >=2.26.0,<2.27.0
on bioconductor-rtracklayer >=1.70.0,<1.71.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-seqinfo >=1.0.0,<1.1.0
on bioconductor-txdbmaker >=1.6.0,<1.7.0
on r-base >=4.5,<4.6.0a0
on r-circlize
on r-ggplot2
on r-httr
on r-rsqlite
on r-stringr

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-recoup

to add into an existing workspace instead, run:

pixi add bioconductor-recoup

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-recoup

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-recoup

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-recoup:<tag>

(see bioconductor-recoup/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-recoup/README.html)